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Avēsis

Data Scientist

Remote

United states

$ 148,440 /year

Mid level

Full Time

11-11-2025

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Skills

Communication Leadership Creativity Python Java JavaScript Data Analysis SQL Data Visualization Statistical Analysis Data Mining DevOps Test Problem-solving A/B Testing Training Architecture Data Architecture Database Management Machine Learning Analytics Data Science PowerBI

Job Specifications

Join us for an exciting career with the leading provider of supplemental benefits!

Our Promise

Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.

The Data Scientist is responsible for collecting, analyzing, and interpreting large datasets to help organizations make data-driven decisions.

Job Summary

The Data Scientist is responsible for leveraging their expertise in statistics, computer science and business acumen to extract meaningful insights from complex datasets. This person will play a crucial role in helping organizations make data-driven decisions, solve challenging problems and drive data innovation.

Functional Competencies:

Collaborate with colleagues in other departments to improve business outcomes
Identify and mine reliable internal and external data sources
Design custom tools to optimize data mining, cleaning, validation and analysis tasks
Develop and apply custom data models and algorithms to data sets
Develop tools and testing models to ensure data accuracy
Create and present reports that detail your findings, recommendations and solutions

Core Competencies:

Data Acquisition and Preparation: Identifying relevant data sources, collecting, cleaning, processing, and transforming raw data into a usable format. This often involves dealing with both structured and unstructured data.
Exploratory Data Analysis (EDA): Investigating datasets to uncover patterns, trends, relationships, and anomalies. This stage helps in formulating hypotheses and understanding the data's potential.
Statistical Analysis and Modeling: Applying statistical methods and building mathematical models to analyze data, test hypotheses, and make predictions. This includes a strong understanding of statistical concepts, regressions, and probability.
Machine Learning and Predictive Modeling: Developing, training, and deploying machine learning algorithms and predictive models to forecast outcomes, classify data, and automate processes. This involves selecting appropriate algorithms, feature engineering, and model evaluation.
Data Mining and Pattern Recognition: Utilizing techniques to discover hidden patterns and insights within large datasets, which can be used for tasks like fraud detection or customer behavior prediction.
Experimentation and Hypothesis Testing: Designing and conducting experiments (e.g., A/B testing) to validate hypotheses, measure the impact of changes, and optimize solutions.
Data Visualization and Communication: Presenting complex findings and insights in a clear, concise, and engaging manner to both technical and non-technical stakeholders. This often involves creating reports, dashboards, and compelling visual representations of data.

Minimum Qualifications

Bachelor’s degree in computer science, Data Science, Math or related field.
5+ years’ experience working in healthcare
Demonstrated expertise in statistics, computer science and business acumen to extract meaningful insights from complex datasets.
Expertise in designing multi-cloud or hybrid data ecosystems.
5+ years’ experience using Java, JavaScript, Python, R or SQL
Experience with business intelligence and data analytics tools such as PowerBI
Familiarity with machine learning techniques and when they should be used
Familiarity with statistical and data mining techniques and when it is appropriate to use them
Strong problem-solving skills

Preferred Qualifications

Master’s degree in data science, Computer Science, or related field.
Experience with AI-driven data architecture and advanced analytics solutions.
Proficiency in cloud-native database management and DevOps practices.

At Avēsis, we strive to design equitable, and competitive compensation programs. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current pay ranges for new hires in each zone are:

Zone A: $81,650.00-$136,090.00

Zone B: $89,060.00-$148,440.00 Zone

Zone C: $95,840.00-$159,730.00 FLSA Status:

Salary/Exempt

This role may also be eligible for benefits, bonuses, and commission.

Please visit Avesis Pay Zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

We Offer

Meaningful and challenging work opportunities to accelerate innovation in a secure and compliant way.
Competitive compensation package.
Excellent medical, dental, supplemental health, life and vision coverage for you and your dependents with no wait period.
Life and disability insurance.
A great 401(k) with company match.
Tuition assistance, paid parental leave and backup family care.
Dynamic, modern work environments that promote collaboration and creativity to develop and empower talent.
Flexible

About the Company

Guiding you to wellness with innovative tools, equitable access, and a personal touch. Avēsis creates communities and systems of care where everyone has access to quality healthcare and services while being treated with dignity. Founded in 1978, Avēsis is a leading administrator of supplemental insurance benefits for government and commercial plans. Rooted in the communities we serve, Avēsis prides itself in delivering innovative products and services while placing our more than 6.6 million members at the center of everythin... Know more